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Human brain mapping
12 01, 2019;40 (17): 5042-5055.

MP2RAGE multispectral voxel-based morphometry in focal epilepsy.

Raviteja Kotikalapudi, Pascal Martin, Michael Erb, Klaus Scheffler, Justus Marquetand, Benjamin Bender, Niels K Focke
Author Information
  1. Raviteja Kotikalapudi: Department of Diagnostic and Interventional Neuroradiology, University Hospital Tübingen, Tübingen, Germany. ORCID
  2. Pascal Martin: Department of Neurology and Epileptology, Hertie Institute for Clinical Brain Research, University Hospital Tübingen, Tübingen, Germany.
  3. Michael Erb: Department of Biomedical Magnetic Resonance, University Hospital Tübingen, Tübingen, Germany.
  4. Klaus Scheffler: Department of Biomedical Magnetic Resonance, University Hospital Tübingen, Tübingen, Germany.
  5. Justus Marquetand: Department of Neurology and Epileptology, Hertie Institute for Clinical Brain Research, University Hospital Tübingen, Tübingen, Germany.
  6. Benjamin Bender: Department of Diagnostic and Interventional Neuroradiology, University Hospital Tübingen, Tübingen, Germany.
  7. Niels K Focke: Department of Neurology and Epileptology, Hertie Institute for Clinical Brain Research, University Hospital Tübingen, Tübingen, Germany. ORCID
PMID: 31403244 DOI: 10.1002/hbm.24756

Abstract

We assessed the applicability of MP2RAGE for voxel-based morphometry. To this end, we analyzed its brain tissue segmentation characteristics in healthy subjects and the potential for detecting focal epileptogenic lesions (previously visible and nonvisible). Automated results and expert visual interpretations were compared with conventional VBM variants (i.e., T1 and T1 + FLAIR). Thirty-one healthy controls and 21 patients with focal epilepsy were recruited. 3D T1-, T2-FLAIR, and MP2RAGE images (consisting of INV1, INV2, and MP2 maps) were acquired on a 3T MRI. The effects of brain tissue segmentation and lesion detection rates were analyzed among single- and multispectral VBM variants. MP2-single-contrast gave better delineation of deep, subcortical nuclei but was prone to misclassification of dura/vessels as gray matter, even more than conventional-T1. The addition of multispectral combinations (INV1, INV2, or FLAIR) could markedly reduce such misclassifications. MP2 + INV1 yielded generally clearer gray matter segmentation allowing better differentiation of white matter and neighboring gyri. Different models detected known lesions with a sensitivity between 60 and 100%. In non lesional cases, MP2 + INV1 was found to be best with a concordant rate of 37.5%, specificity of 51.6% and concordant to discordant ratio of 0.60. In summary, we show that multispectral MP2RAGE VBM (e.g., MP2 + INV1, MP2 + INV2) can improve brain tissue segmentation and lesion detection in epilepsy.

Keywords

MP2RAGE MRI-negative VBM epilepsy lesion detection smoothing statistical thresholds

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Grants

  1. FO750/5-1/Deutsche Forschungsgemeinschaft
  2. F1315030/PATE program University of Tuebingen

MeSH Term

Adult
Brain
Epilepsies, Partial
Female
Gray Matter
Humans
Image Processing, Computer-Assisted
Magnetic Resonance Imaging
Male
White Matter
Journal Article Research Support, Non-U.S. Gov't

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